Naveen
What are decorators in Python?
Decorators are used to add some design pattern to a function without changing its structure. Decorators generally are defined before...
Read More โWhat are Python namespaces?
A namespace In Python refers to the name which is assigned to each object in Python. The objects are variables...
Read More โStress Detection Project using Machine Learning
Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification behind having an unpleasant...
Read More โNumPy for Data Science – Part 5
The difference between copy and view Copy View Join & split function Join array โ joining means putting contents of...
Read More โNumPy for Data Science – Part 4
Broadcasting NumPy Arrays The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain...
Read More โOutlier Detection methods in Machine Learning
Objective An outlier is an individual point of data that is distant from other points in the dataset. It is...
Read More โMissing Values Treatment methods in Machine Learning
Delete Missing Value Rows Missing values can be handled by deleting the rows or columns having null values. If columns...
Read More โNumPy for Data Science – Part 3
Arithmetic Operations in NumPy Arrays In NumPy there are multiple functions which we can use to perform the arithmetic operation,...
Read More โNumPy for Data Science – Part 2
Create NumPy Arrays with Random Numbers Data Types in NumPy Arrays Shape and Reshaping In NumPy Arrays Shape of an...
Read More โNumPy for Data Science – Part 1
What is NumPy Array? An array is a grid of values and it contains information about the raw data, how...
Read More โRestaurant Recommendation System using Machine Learning
In this article we are going to discuss about the Restaurant Recommendation System. it is an application that recommends similar...
Read More โHotel Sentiment Analysis using NLP
Whenever we are trying to find hotels for vacation or travel, we always prefer a hotel known for its services....
Read More โ